SECURITY REVIEW
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Research · Writing / AGENT SKILL
firecrawl-deep-research
0
Produces rigorous, cited analytical reports from open-web evidence on complex topics.
Produce an intensive, cited analytical report: executive summary, multi-angle
findings, contrarian views, open questions, and full sources. Use only when the
user needs rigorous synthesis of a complex topic (scientific, technical, policy,
or market-analytical) that cannot be answered with a short search, and wants
a formal written report, not a recommendation list.
Do not use for product picks, top-N lists, quick lookups, or routine "find out
about X" tasks. If the request does not clearly need this kind of report, do
not use this skill.
Do not use for a literature review over published papers. This skill collects
evidence from the open web. A request for the literature on a biomedical,
clinical, life-science, or other scientific topic — papers, studies, trials,
preprints — belongs to firecrawl-research-papers, which queries Firecrawl's
paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.
Understand the trade-offs.
SKILL QUALITY
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How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.
No quality assessment is available for this catalog entry yet.
The full skill.
Original instructions from the publisher’s SKILL.md
# Firecrawl Deep Research Use this only for report-scale research: a rigorous, cited synthesis the user explicitly wants delivered as a formal written report. If the request is a product pick, a top-N list, a quick lookup, or anything answerable with a short search, stop; do not use this skill, let the request be handled the standard way. This skill gathers its evidence from the open web. If the evidence base is the published literature — a literature review, or a biomedical, clinical, or other scientific topic where the answer lives in papers — use [firecrawl-research-papers](../firecrawl-research-papers/SKILL.md) instead; it queries Firecrawl's paper index rather than searching websites. ## Onboarding Interview Infer the topic and output format from context. Before starting, unless already specified, always ask one short question to define the scope: > "How long do you want this research task to run?" Map the answer to a depth tier in the Collection Plan below: - A few minutes → Quick - ~10-15 minutes → Thorough - Longer / no limit → Exhaustive If the topic itself is unclear, you may ask at most 1-2 additional concise questions (topic, or a critical angle/source constraint). Otherwise proceed once the runtime is set. ## Firecrawl Collection Plan Use Firecrawl search and scrape through the CLI or equivalent tool surface. Match depth to the runtime the user chose during onboarding. - Quick (~a few minutes): search 3-5 queries and scrape 5-10 high-quality sources. - Thorough (~10-15 minutes): search 5-10 queries from different angles and scrape 15-25 sources. - Exhaustive (longer): search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources. Avoid re-scraping URLs already returned with full content from a search-with-scrape result. ### When Published Papers Are The Evidence Search and scrape reach web pages. They do not query Firecrawl's research paper index, which holds paper abstracts with full text reachable per paper — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Hand off to [firecrawl-research-papers](../firecrawl-research-papers/SKILL.md) when the report's evidence base is the published literature — a biomedical, clinical, drug, gene, disease, epidemiology, or public-health topic, or any request phrased as a literature review, systematic review, or survey of studies. That skill uses `firecrawl_research_*` (MCP) / `firecrawl research` (CLI) to search abstracts, expand to related papers, and verify claims inside a paper body — none of which plain search and scrape can do. If the report needs both — the literature *and* market, policy, or news context — run the paper work through that skill and keep the web collection above for the rest, then synthesize here. Note that passing `categories: ["research"]` to Firecrawl search does not query the paper index either. It filters an ordinary web search to research-affiliated websites — the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites — and returns their web pages, not the paper records behind them. ## Parallel Work If appropriate, use sub-agents or equivalent parallel task runners by research angle: - overview and definitions - technical or implementation details - market and industry context - contrarian views, risks, and limitations - primary sources and official docs Each researcher should return claims, source URLs, source quality notes, and uncertainty. ## Final Deliverable Default structure: ```markdown # Deep Research: [Topic] ## Executive Summary [2-3 paragraphs] ## Key Findings [Numbered findings with source links] ## Detailed Analysis [Themes, evidence, and synthesis] ## Contrarian Views And Risks [Counterarguments, limitations, failure modes] ## Open Questions [What remains uncertain] ## Sources [Every URL used with a one-line note] ## Rerun Inputs workflow: firecrawl-deep-research topic: [topic] depth: [quick/thorough/exhaustive] output: [markdown/json/brief] ``` ## Quality Bar - Cite sources for factual claims. - Prefer primary sources when available. - Flag uncertainty and conflicting evidence. - Synthesize instead of listing scrape summaries.